Instructions to use cuongdev/test-tonghop-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/test-tonghop-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuongdev/test-tonghop-v2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9915c471ffbb6fa98bc323b43de2892d1426e83a8abeac3fc3e25b2b30dcf543
- Size of remote file:
- 681 MB
- SHA256:
- 2c770259eb10a7c6d009bb664d62d81f034c7135bc7fca7f8f6480ad63a08bdb
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